Growth infrastructure for teams too early to hire it in-house.
Before you can afford a growth team, you need someone reading the numbers and running the tests. We're that team, from day one of paid acquisition.
For early-stage teams — typically pre-seed to Series A — who've found some early traction (a few hundred customers, a channel that's shown a spark, or a waitlist that's converting) but don't yet have the volume or budget to justify a full-time growth hire, let alone a team. You've probably tried a few things yourself already: a founder-run ad account, an agency that optimised for spend instead of payback, or a freelancer who ran one channel in isolation with no one connecting it to the rest. What's usually missing isn't effort — it's a system: someone reading the numbers every week, deciding what to test next, and writing down what worked so it doesn't have to be rediscovered six months later when you finally do hire. We plug into that gap from the first week of paid acquisition, not after things have already gone sideways.
Good signs you're ready
- You're already spending on at least one channel — even ₹50k/month counts
- You have usage or revenue data, even if it's scattered across three tools
- No one on the team owns growth as their full-time job
- You want a repeatable channel, not a one-off campaign that worked once
The levers that move your numbers.
Every engagement starts by narrowing to the handful of levers that actually move the needle for a business like yours — not a generic checklist run the same way for every client.
Same methodology, applied to startups.
We build the measurement first
Most startups we meet are flying without instruments — a pixel that fires, but no one's checked if it fires twice; a dashboard that was set up eight months ago and never touched since. Before we test anything, we spend the first one to two weeks wiring up GA4, ad-platform tracking, and a lightweight weekly report, so every decision after that is based on a number you can actually trust, not a platform's self-reported one.
We test channels cheaply, in parallel
Instead of betting the whole budget on one channel for eight weeks and hoping, we run small, capped tests across two or three channels — Meta, Google, organic content, whatever fits your buyer — at the same time. It costs a little more in month one, but it means you find your repeatable channel in five or six weeks instead of three months of sequential guessing.
We hand you a playbook, not a black box
Every experiment — what we tested, why, what it cost, what it returned — gets written down in a shared doc as we go, not reconstructed from memory later. When you do make your first growth hire, they inherit months of documented learning on day one instead of starting from zero and re-running tests we already ran.
We run a weekly rhythm, not a monthly report
A short call every week: what moved, what didn't, what we're testing next. No slide decks, no quarterly reviews that arrive too late to change anything — decisions get made in the room, and the next test is usually live within 48 hours.
Example work, not a generic pitch.
Positioning sprint before the first big spend
Before putting meaningful budget behind any channel, we run 8–10 short customer conversations to sharpen who the ICP actually is, then test two or three headline and landing-page variants against real traffic instead of internal opinion.
Parallel channel test across paid social, search, and content
We cap spend at a level that's cheap to lose, run all three channels for three weeks, and let the numbers — not gut feel — decide where the next month's budget goes.
Analytics foundation rebuilt from scratch
GA4, server-side events, and one weekly dashboard pulling from ad platforms, product analytics, and revenue — so 'is this working' has a single answer, not four spreadsheets that disagree.